A flock of drones provide a drone-assisted mesh network for first responders. Network modules attached to the drones interconnect with other network modules and provide network access points for first responder devices, allowing the first responder devices to communicate with each other via the drone-assisted mesh network. The drones may autonomously reposition themselves to create a desired network coverages area, including adjusting the network coverage area as instructed via a drone controller. The network modules may communicate with a gateway to an external network, allowing first responder devices to communicate with the external network via the drone-assisted mesh network. Network modules may be selected for field-attachment to the drones based on characteristics of the first responder devices.

A system, apparatus, method, and non-transitory computer readable medium for providing autonomous beam switching for user equipment (UE) within a cell coverage area of a high-altitude platform station (HAPS) network device, the HAPS network device may be caused the HAPS network device to, determine beam layer information corresponding to the plurality of beam layers; transmit the beam layer information to the at least one UE; receive an autonomous beam switch request from the at least one UE in response to the transmitted beam layer information, the request including beam switch parameters; determine a selected beam layer based on the beam switch parameters; and enable communication with the at least one UE using the selected beam layer.

Systems and methods are provided to support hypernumber portability for a hypernumber number corresponding to an electronic device. The electronic device may include an installed application to facilitate hypernumber portability. To this end, when the electronic devices connects to a wireless network, the electronic device may request a vehicle identification. If the wireless network is a vehicle-based network, the electronic device may receive the vehicle identification from an on-board node. When the received vehicle identification indicates that the electronic device has changed locations, the electronic device may communicate with a hypernumber database and/or a hypernumber server to update a dynamic phonebook. As a result, as the electronic device traverses a transport network, the dynamic phonebook may maintain updated location and call routing information for the electronic device.

Systems, apparatuses, and method may provide unmanned aerial system communication. A method performed by at least one processor included in an unmanned aerial system (UAS) includes: transmitting, to a UAS Service Supplier (USS) implemented on at least one server, a first registration request to register a first remote identification (RID) corresponding to the UAS with the USS; receiving, from the USS, an indication that the first RID is a duplicate RID that is registered with the USS; determining, based on the first RID, a second RID corresponding to the UAS; and transmitting, to the USS, a second registration request to register the second RID.

The present disclosure provides a method and a device in a communication node used for wireless communications. A communication node first receives first information and second information; and then transmits a first radio signal; and monitors a first signaling in a first time window; the first information is used to determine a time length of the first time window, an interval between an end for a transmission of the first radio signal and a start of the first time window is a first time interval, and the second information is used to determine a time length of the first time interval; a bit output by a first bit block through channel coding is used to generate the first radio signal, the first bit block carries a first identity, and a second identity is used for monitoring the first signaling. The present disclosure helps improve the performance of random access.

A method of operating a wireless telecommunications network includes identifying a signal coverage area of a moving base station, that forms part of a first telecommunications network, to which to allocate a first physical network identifier, determining a second physical network identifier for enabling user equipment to access an access point that serves the identified signal coverage area, wherein the access point is stationary relative to the moving base station and forms part of a second wireless telecommunications network, and associating the first physical network identifier with the second physical network identifier. The method further includes allocating the first physical network identifier to the moving base station to allow user equipment within the signal coverage area to access the moving base station via the first physical network identifier when the moving base station is providing a telecommunications signal in the identified signal coverage area.

A space-air-ground integrated UAV-assisted IoT data collection method based on AoI comprises: constructing a UAV-assisted space-air-ground integrated IoT system, constructing a UAV channel model and an AoI model, establishing an AoI-based UAV-assisted space-air-ground integrated IoT data collection model, transforming a problem into a Markov problem, introducing a neural network to solve a high-dimensional state problem, introducing a deep reinforcement learning algorithm to train UAVs to find optimal collection points, and introducing a matching theory to match the UAVs and IoT devices. To meet the requirement for the timeliness of information collection, the invention finds the optimal configuration of flight parameters of UAVs and deduces the restrictive relation between performance indicators such as AoI, system capacity and energy utilization rate, thus effectively improving the timeliness of information collection, reducing the management and control complexity of the system, and improving the application level of AI in the IoT field.

A method, a computer-readable medium, and an apparatus are provided. The apparatus may be a repeater node. The apparatus may receive, at one or more first antennas of the node, a first signal via at least one first beam. The apparatus may measure, at one or more third antennas of the node, at least one of a power or a quality of at least one third beam. The at least one of the power or the quality of the at least one third beam may be measured at a same time as the first signal is received. The apparatus may forward, at one or more second antennas of the node, the first signal via at least one second beam.

Provided are a measurement method and apparatus, and devices. The method comprises: a terminal device acquiring a plurality of measurement parameters of a network device; and the terminal device determining a first measurement parameter from the plurality of measurement parameters, and performing measurement on a TN cell according to the first measurement parameter. The communication performance between the terminal device and the network device is improved.

This disclosure provides systems and methods for routing and topology management of computer networks with steerable beam antennas. A network controller can generate an input graph for a first time period. The input graph can have a plurality of vertices each representing a respective moving node and a plurality of edges each representing a possible link between a pair of moving nodes. The input graph also can include corresponding location information for each of the moving nodes during the first time period. A solver module can receive information corresponding to the input graph, a maximum degree for each vertex in the input graph, and a set of provisioned network flows. The solver module can determine a subgraph representing a network topology based on the input graph, the maximum degree for each vertex in the input graph, and the set of provisioned network flows, such that a number of edges associated with each vertex in the subgraph does not exceed the maximum degree for each vertex.